Open Access
Table 4
Comparison of classification results under different levels of Gaussian noise and salt-and-pepper noise by different models.
| Reference | Model | Add noise type | Add noise level | Accuracy |
|---|---|---|---|---|
| This work | CvT-13 | Gaussian noise | sigma=0 | 0.988 |
| sigma=5 | 0.931 | |||
| sigma=25 | 0.864 | |||
| sigma=50 | 0.837 | |||
| Salt-and-pepper noise | amount=0 | 0.988 | ||
| amount=0.05 | 0.902 | |||
| amount=0.1 | 0.831 | |||
| amount=0.2 | 0.815 | |||
| [1] | EfflcientNet-B5 | Gaussian noise | sigma=0 | 0.968 |
| sigma=5 | 0.783 | |||
| sigma=20 | 0.847 | |||
| sigma=50 | 0.815 | |||
References. [1] Ai et al. (2022).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.